On the assembly of stationary points of a polyconvex functional and finite BOP-theory
Abstract.
In this work the following energy is considered
where denotes the unit ball, and smooth and convex with for all and becomes affine when exceeds some value Additionally, we may impose covering maps as boundary conditions in a suitable fashion.
For such situations we then construct radially symmetric covering stationary points of the energy, which are at least (in some circumstances even and verify more refined properties, which these stationary points need to satisfy. We do so by following the strategy first and foremost developed by P. Bauman, N. C. Owen, and D. Phillips (BOP) confirming and generalising that the method remains valid beyond the case for an arbitrary Furthermore, as far as we know, this is the first treatise of BOP-theory in finite elasticity. The finiteness, not imposing such strict conditions, allows for a richer class of possible behaviours of the stationary points, making it more difficult to completely determine them.
Key words and phrases:
Calculus of Variations, elasticity, polyconvexity, regularity, BOP-theory, ODE2020 Mathematics Subject Classification:
49N60, 73C50, 34A34, 34B151. Introduction
Let be the unit ball and define the functional by
(1) |
for all The function is defined by
(2) |
for some constants and
Here is a smooth and convex function on satisfying the boundary conditions and and the connections need to be in such a way that is smooth everywhere. Note that is convex on the whole real line. Hence, the complete integrand is polyconvex. Recall, again, we call polyconvex, if there exists a convex function s.t. for all
The behaviour of the functional depends mainly on the parameter If then the functional turns into the well known Dirichlet energy. In the regime the functional is uniformly convex. If then the functional is genuinely polyconvex.
Now we define the covering map for via its representative
(3) | |||||
(4) |
Furthermore, we will use the notation and for all and we introduce the set of admissible functions
where the boundary condition must be understood in the trace sense. Moreover, and the functional attains its minimum in
Notation: For a matrix we denote the determinant by (where we drop the for simplicity) and the cofactor is given by
(5) |
For two vectors we define the tensor product by for all
As usual we are interested in the behaviour of the minimizers or more generally the class of stationary points:
Definition 1.1 (stationary point).
We call a stationary point of the functional (1) if it satisfies the Euler-Lagrange equation (ELE) in the weak form, which is given by
(6) |
The set of radially symmetric covering maps
will play a key-role in this paper. Again, and the functional attains its minimum in as well. Now restricting the class of test functions to covering radial symmetric maps, too, then the ELE becomes a boundary value problem (BVP) for
Definition 1.2 (BVP).
For any and we call a distributional solution of the BVP if it satisfies
(9) |
Furthermore, we will be interested in the concrete shapes of and and therefore we will need the following notions:
Definition 1.3 (lift-off functions).
Let be a real valued function.
-
(1)
We call an immediate lift-off function, if and for any
-
(2)
We call a delayed lift-off function, if there is s.t. on and for any
This brings us in the position to give the central statement:
Theorem 1.4.
Then the following statements are true:
-
(1)
Every map with satisfying the BVP (9) distributionally is a stationary point of in the full class
-
(2)
If then is the unique global minimizer of in the full class
-
(3)
If then every map with satisfying the BVP (9) distributionally possesses the following properties:
-
(a)
-
(b)
and for all and
-
(c)
and in with and in
-
(d)
If is lifting-off delayed then and
-
(e)
If is lifting-off immediately then is either a delayed lift-off solution with or an immediate lift-off function with but not necessarily any better, and If it is additionally assumed that then and
-
(a)
Remark 1.5.
Notice, that in theorem 1.4.(1) it is shown that the involved maps are stationary points of the functional in the full class however, for it remains open, if theses constructed maps actually are the global minimizers of the energy .
What does the literature tell us about the regularity of stationary points/minimizers of the energy ? This functional has recently been introduced in [17]. There it is shown that for arbitrary any stationary point of the energy subject to arbitrary boundary data needs to be locally Hölder-continuous and a higher-order regularity result is obtained. Moreover, it is shown that if is uniformly elliptic (that is ) any stationary point of the energy must be locally smooth.
Furthermore, the classical result by Acerbi and Fusco [1] guarantees that any minimizer/stationary point of under suitable boundary conditions has to be smooth up to a nullset. Although, the fairly symmetric stationary points constructed here are at least of class less symmetric stationary points with low regularity could still occur: Müller and Sverak [28], Kristensen and Taheri [27], and Szekelyhidi, Jr. [30] constructed, via Gromov’s convex integration method, smooth poly- and quasiconvex integrands s.t. the stationary point/ local minimizer is everywhere Lipschitz but nowhere .
Elastic situations subject to double (or ) covering boundary data have been intensely discussed in [3, 9, 11, 12, 4]. Additional everywhere regularity results can be found in [23, 15, 16, 6, 24, 25] and for a list of partial regularity results regarding poly- or quasiconvex integrands see [23, 18, 13, 19, 1, 27, 29, 14, 26, 21].
In this paper we follow the method devised initially by P. Bauman, N.C. Owen and D. Phillips (BOP) in two striking papers [5, 4] and extended by Yan [32] and Yan and Bevan [8]. Indeed, BOP consider a infinite nonlinear elastic situation, where the integrand depends on in such a way, that if or and if and they obtain a higher-order regularity result showing that it is enough for an equilibrium solution to be of class for some for it to be already fully smooth. In [32] it is then shown that the previous assumption can be relaxed to and that this is optimal in a sense. Additionally, BOP construct a radial symmetric double covering singular equilibrium solution, which is for any Bevan and Yan [8] then show, that this map is the unique minimizer in a substantial part of the admissible set. The latter assembly of the counterexample is important since, we follow this part very closely. For more regularity results in infinite nonlinear elasticity see [10, 7, 22].
Plan for the paper: In §.2 we start by developing the classical BOP-theory. The general goal of §.2 is to get an understanding of the regularity of and Initially, we discuss basic results of in lemma 2.1. In lemma 2.2 we obtain regularity and non-negativity for and and then analogous results for and in lemma 2.3. This is followed by two technical lemmas describing the behaviour of two important auxiliary functions and These are then used to obtain lemma 2.6, which is the central statement of §.2 discussing the notions of delayed and immediate lift-off solutions and their corresponding regularity. Lastly, lemma 2.7 shows point of theorem 1.4. In §.3 we then explore the solutions, starting-off, following the newer theory developed by Yan and Bevan, by discussing, in lemma 3.1, limit taking at the origin involving In §.3.1 for an arbitrary delayed lift-off solutions are investigated. Finally, §.3.2 and §.3.3 then distinguish between situations, where is lifting-off delayed, and such, where is immediately lifting-off and the corresponding solutions are analysed once again.
2. Classical BOP-theory
In this paragraph it is shown that functions are at least of class on the whole interval . Again, we use the method invented in [5, 4]. In particular, this section will follow very closely the latter one without us mentioning it all the time.
We start our discussion by recalling the ELE as given in (6). Plugging and test functions of the form into (6) yields the BVP (9). The first statement makes this rigorous and establishes first simple results of the radial part
Lemma 2.1 (Elementary properties).
Let and
-
(i)
Then if and only if is absolutely continuous on each compact subset of and and
-
(ii)
If then is a Null-Lagrangian in the class of and covering test functions, i.e.
holds for all and all test functions of the form where if
-
(iii)
Assume, additionally, solves
weakly, for any test functions of the form where Then satisfies the ODE
(10) -
(iv)
Assume solves (10). Then and
-
(v)
Moreover,
Proof.
(i): It is straightforward to see that for every it holds that
Since the LHS is finite the RHS needs to be finite, too, implying and
Let
Since it follows
(11) |
Hence, Similar leads to
(12) |
which implies and Then agrees up to a set of measure zero with a function on where is absolutely continuous on any compact subset of (as always we identify with ). The latter is a consequence of (12) and the fundamental theorem of calculus for Sobolev functions, see [2, U1.6, p.71-72].
(ii)-(iii): First we calculate some important quantities:
Hence, the ELE (6) becomes
(13) |
which is automatically true for all if and for takes the form
(14) |
for all
(iv): Now we show that for any with and it must hold that Suppose not, then wlog. there exists a strictly montonic decreasing sequence s.t. for and for any Then since we can find so large that for any it holds Using the latter together with the fundamental theorem of calculus, and Hölder’s inequality, then for any and any with (Note, that wlog. we can assume if not consider the sequence ) we obtain
Therefore by the reverse triangle inequality we have for any . Then
contradicting the integrability of and showing that with
(v): Next we show that
Let
(15) |
with
Then is a homeomorphism from to for all and Indeed, for is a homeomorphism from to Now let and Then is strictly monotonically increasing and maps to continuously. Moreover, is monotonically increasing and continuous as well, hence, is a homeomorphism on If then decreases but still increases, and we can argue as above.
Assume that there exists and a sequence for s.t. But then
which is impossible, since is continuous on Hence,
As a last step we improve the regularity to
Using the ODE we can represent by
(16) |
Then by the analysis above, is actually Further the derivative w.r.t. is for all Then the implicit function theorem gives full regularity ∎
Collecting these results, from now on, we will consider solutions to the boundary value problem
(19) |
where refers to the linear part of the considered ODE, i.e.
for all
We keep following [4] so it might be good to outline the strategy: Firstly we will consider three auxiliary functions, namely the determinant , and as defined below, which depend on and Studying their behaviour, in particular, close to the origin will then reduce the number of possibilities how and can behave. Then we can discuss these cases one-by-one and finally determine, among other things, the regularity of and .
We start with the following observations on the determinant.
Lemma 2.2.
Let and assume that solves the BVP (19). Then and in Moreover, it holds that and in
Proof.
The smoothness of in follows by the smoothness of in the same interval.
Now by multiplying the strong form of the ODE (10) by we can express the term as
(20) |
Hence,
and rearranging the equation yields,
(21) | |||||
Assume now that By the smoothness of in there exists s.t. for all This implies that for all either and or and Consider the first case on By the mean value theorem we get that there exists a s.t. contradicting for all (Analogously, for the other case). This proves By and smooth in cannot attain Therefore, the limit exists and is nonnegative. Again by remains nonnegative throughout the whole interval ∎
As a consequence, the non-negativity and the monotonic growth of are transferred on to
Lemma 2.3.
Let and solves the BVP (19). Then for all and for all
Proof.
By Lemma 2.2 we know that
Hence, for all For the sake of a contradiction, assume that there exists s.t. Then by the continuity of and since grows monotonically, remains negative up to the boundary, i.e. for all This is not compatible with the boundary condition yielding in
The second claim follows in a similar fashion. Again we make the assumption that there exists s.t. By continuity, there even exists an interval with s.t. for all then by monotonicity of we know that but on the other hand by the fundamental theorem of calculus we have
leading again to a contradiction. Hence, in ∎
Next we introduce the function for all where for all In the following lemma it is shown that satisfies a maximum principle in . This follows closely [5, thm ].
Lemma 2.4.
Let and assume solves the BVP (19). Then satisfies the strong maximum principle in
Proof.
It is enough to show that is a subsolution to an elliptic equation, i.e. in where This is indeed enough to apply the strong maximum principle, see [20, §6.4.2 Thm 3].
Initially, note that for and
Now in order to calculate we first need to calculate and
Taking the derivative of wrt. yields,
(22) |
where we used The strong version of the ODE (10) is given by
(23) |
which, when multiplied by leads to
(24) |
Substituting, in (22) via (24) yields,
The second derivative of is then given by
and the Laplacian becomes
The equations (24) and (20) allow us to replace the terms with a second derivative
(25) |
Now define
(26) |
Completion of the square, yields
To deal with the ‘-terms’ of (25) we use the form (21) of to obtain
Denoting the expression in the brackets by i.e.
we get
Since the denominator is nonnegative and we know that therefore, the first term is nonnegative. To complete the proof it is enough to show that
(27) |
In order to prove (27) we show the slightly stronger statement
(28) |
Assume that (28) holds, adding the nonnegative term to the left hand side and dividing by yields
which agrees with (27). First we compute the quantities
and
Then (28) becomes
(29) |
In the last step we completed the quartic form. Note that Furthermore, the coefficients satisfy
The last coefficient in (29) is nonnegative if it satisfies the following condition
equivalently,
which is true for all This finishes the proof since all terms in (29) are nonnegative yielding and with the discussion above in .∎
The latter statement now allows to control the behaviour close to the origin. Indeed, is monotonic close to This gives constraints on the quantity which will be useful later.
Lemma 2.5.
Let and solves the BVP (19).
Then there exists s.t. is monotone on Assume, additionally, in Then one of the following conditions holds identically in
(30) | ||||
(31) | ||||
(32) |
Proof.
By lemma 2.4 we know either that is constant, in which case the monotonicity is given, or does not attain a maximum in It follows that can only have one local minimum in and therefore can only change sign once. Hence, there exists a s.t. is monotone on
Suppose now that s.t. the above holds and for all and recall Then the derivative of is given by
Using the definition of we obtain
On the other hand, since is a strong solution to the ODE (10) in all derivatives exist in a strong sense. In particular,
Rearranging the above equations and multiplying it by yields
Therefore,
(33) |
Up to this point we have narrowed down the number of possibilities, how and can behave close to enough so that there are only a few cases left, which now can be treated individually. The shape of and will demand certain conditions on which can either be matched by or will lead to contradictions, excluding these cases. This will reduce the number of types even further and leaves only the following restrictive statement:
Lemma 2.6.
Let and suppose solves the BVP (19). Then
Moreover, one of the two situations occurs:
i) is lifting-off delayed, i.e. there exists, s.t. on Then
ii) is lifting-off immediately, i.e. away from zero. Then and
Proof.
We show that only is possible and either near zero or away from zero and All other situations are excluded by contraposition.
Recall, that exists and agrees with due to continuity, which was proven in lemma 2.2. Also notice that lemma 2.5 guarantees that makes sense, however the limit might be In particular, we know by the definition of and the behaviour of
1. Case:
By continuity of on there exists s.t. on implying on (even on , by monotonicity).
First, assume In this case only near zero is possible implying to be monotone on The mean value theorem guarantees the existence of the two sequences and for any s.t.
(34) |
By lemma 2.5 we know that there are two different cases, either or on In the first case by and (34) we have
Hence, we know and together with the property on it holds
contradicting
In the 2nd case, that is on it holds
Again and together with the property on we have
contradicting
Now assume the limit exists, i.e. For the sake of contradiction we show that the right limit of exists in and that it is nonzero.
Introduce the new variables and Then we can interpret the functions and as functions depending on these new variables and on the set
Consider
here and are parameters, in particular, is not the function introduced in (26). is a compact subset of due to the continuity of and In particular, consists of at most two points
Now again by the continuity of and we know that for all there exists s.t. for all Now we need to show that remains in one of these balls for all If this is immediately true. So suppose Then we can choose so small that the balls become disjoint, i.e. Recall that therefore, the curve is connected and remains in one ball, say Since was arbitrary, we see that
Hence, and
Consider the rescaled function for with the derivatives and for all Since solves the ODE (10) strongly in so does the rescaled version. Indeed note that
Hence,
where the last equality holds since it agrees with the strong form of the ODE (10) evaluated at
Now if then the rescaled function converges uniformly to the linear map , i.e. and uniformly in But then the weak form of the ODE of converges to the weak form of
Therefore, is a weak solution to the ODE (10). Since is smooth it also needs to satisfy (23), which is not true since plugging into (23) yields
which is not satisfied since
2. Case:
There are only two possible scenarios: Either in or in
If near zero then in and we can easily see and Moreover, this argument works for all derivatives of yielding
Assume instead that lifts-off immediately, i.e. there exists s.t. on Then lemma 2.5 holds, assume first Again, is monotone on and the mean value theorem implies the existence of of the two sequences and for any s.t.
Assume now on Then
Hence, Now, by on we get and and therefore if This yields
Since and by assumption on we have on By the non-negativity of and (following from and recalling ) we finally know that on
contradicting the assumption that lifts off immediately. One can argue similarly in the case when on
Finally, assume Then holds, i.e. on Since for
and again with ∎
We end this paragraph by showing that the constructed maps s.t. solves the BVP (19) are stationary points of the functional (1).
Proof.
Lemma 3.6 of [4] applies and shows that solves the ELE strongly in this can be reformulated in the following sense, satisfies
for all with near the origin.
Now we can follow the strategy of Theorem 3.11 in [4] to upgrade this to arbitrary test functions. For this sake, take s.t. on and on and there exists s.t. Take an arbitrary test function and set then vanishes close to the origin. Hence,
Then the first integral converges:
by dominated convergence. Since, there exists s.t. Then
Hence, the second integral vanishes for and
holds for every ∎
3. Advanced BOP-theory
In the following, we want to investigate if these stationary points are even more regular. A first step in that direction is the next lemma. This has been observed for the BOP-case by Yan and Bevan, see [8, Lem 3.(i)] and [32, Lem 1.(i)].
Lemma 3.1.
Let and suppose solves the BVP (19). Then
(i) and
(ii)
Proof.
(i) Assume not, then But then there exits a small interval s.t. on By the mean value theorem it follows the existence of some , s.t.
which is a contradiction.
(ii) Recall the ODE
Then
This shows the second claim. ∎
3.1. Delayed lift-off solution for arbitrary
From now on, we will distinguish between the different shapes of the solutions to the BVP (19). For this recall, that is an immediate lift-off solution if away from zero. We will denote such solutions by while we will call delayed lift-off solutions by for As a reminder, is a delayed lift-off solution if there is s.t. on The indicates the point such that in but also for all The first statement will be that an immediate lift-off solution is zero up to and that it needs to solve the BVP (37) below. This fact will be crucial for the uniqueness result in lemma 3.3.
Lemma 3.2.
Proof.
Furthermore, we demonstrate that such a solution, if it exists, needs to be unique.
Lemma 3.3.
Let Assume there exists a solution to the BVP (19) of the form , Then there exists a unique in the sense that
and lifts off immediately, i.e. for all
Proof.
We can always choose to be maximal in the sense that on and lifts off immediately. For the uniqueness assume that and are two solutions to (19) for . Then both need to satisfy
The Picard-Lindelöf Theorem111see, [31] Theorem 2.5, Corollary 2.6. yields, on , trivially on the complete interval Hence, by maximality.∎
Conclusion: For arbitrary behaviour of and the above discussion shows that (smooth) delayed lift-off solutions to the BVP (19) either do not exist or there is at most one. The latter lemma shows that the representation and may vary, but the solution remains the same.
3.2. Delayed lift-off
Lets assume itself is a delayed lift-off function, i.e. there exists s.t. on . Since, and is continuous there exists a small interval s.t. So the term of the considered functional (1) vanishes reducing the functional to the Dirichlet energy, at least close to the origin. It is then well known, that stationary points to the Dirichlet energy are harmonic functions and therefore smooth. Giving hope, that in case of a delayed lift-off all solutions are indeed smooth. The following result states that this is exactly true. Notice, that it will be enough to consider immediate lift-off solutions since, by the previous discussion, we already know that delayed lift-off solutions have to be smooth.
Lemma 3.4.
Let and assume there exists s.t. for all and for all Further suppose there exists a solution of the BVP (19) of the form
If solves (19) then there exists a unique and some s.t.
(40) |
and the unique smooth solution of
(43) |
and is not in the kernel of for at least a short period of time, i.e. there exists s.t. for all Moreover, for all
Proof.
Since and and the delay of there exists a unique s.t. for all and for all Then for and there exists an s.t. for Hence, for Then needs to solve the following ODE
for some Indeed can not exceed since and If then in implying in a contradiction. is excluded by the assumption that the solution is an immediate lift-off function.
Then solves (LABEL:eq:3.3.5) uniquely and takes the form (40).
Since all derivatives of need to agree at i.e. for all ∎
Remark 3.5.
By construction depends not only on but also on . For every the may vary, destroying any chance for a uniqueness result similar to Lemma 3.3.
Conclusion:
We can not guarantee the existence of solutions to the ODE of the form But if they exist, they have to be smooth.
Moreover, combining this with our knowledge of delayed-lift off solutions, we are able to conclude that in case of a delayed all stationary points in the class are smooth.
3.3. Immediate lift-off
If is an immediate lift-off function ( for all ), then we are not (yet) able to show, that solutions need to be any smoother then However, as a next statement we show that under the additional assumption full smoothness of , and can be obtained. Additionally, we then describe a necessary condition (44), which needs to be satisfied for any smooth enough As a consequence, the limit of the quantity if tends to playing a key role in lemma 2.5, can then finally be determined.
Lemma 3.6.
(Higher-order regularity) Let and for all Assume there exists a solution to the BVP (19) of the form and assume
Then the corresponding and In particular, it holds that for any and there exists s.t.
(44) |
and as a consequence we have
Proof.
In the following we will suppress in favour of
By the higher-order regularity result [17, Thm 1.4] we know that and is enough to imply full local smoothness which guarantees smoothness at the origin, the smoothness can then be extended by limit taking of and their derivatives up to the harmless boundary at showing the claim.
Now for the second part of the statement we first note that for all implies that there exists a s.t. for all This yields
(45) |
Since, in we can infer and on Since, there exists and s.t.
(46) |
Assume not. Then for all there exists s.t.
(47) |
Fix Then for all take s.t. the latter inequality holds. By continuity of in there exists an s.t. (47) holds even for all By integration we get
Hence, for all we can find s.t. is not Hölder continuous at with Hölder constant Since is arbitrary this contradicts
Remark 3.7.
The necessary condition given in (44) is relevant to our discussion, since Improving the lower bound, in up to the point where it matches the upper one, would show that can’t be of class However, we don’t know if it is indeed true or how to show it.
Conclusion:
In this case there are two possibilities: There is at most one smooth delayed lift-off solution for some or there could be an immediate lift-off solution of the form remaining open if the regularity of must be any better.
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Acknowledgements: The author is appreciative to the Department of Mathematics at the University of Surrey and was funded by the Engineering & Physical Sciences Research Council (EPRSC). Thanks to Jonathan J. Bevan and Bin Cheng for comments and discussions.